著作目錄
Journal:
1.
Yung-Tsai Chu, Chin-Feng Yu, Sung-Pin Fan, Ta-Fu Chen,
Ming-Jang Chiu, Jyh-Shing Roger Jang, Shu-I Chiu*,
Chin-Hsien Lin*, Substantia
nigra nigrosome-1 imaging correlates with the severity of motor symptoms in
Parkinson's disease, Journal of the
Neurological Sciences, Vol. 451, 2023. (* Corresponding authors)
2.
Chiu, Shu-i; Fan, Ling-Yun; Lin, Chin-Hsien; Chen, Ta-Fu; Lim, Wee Shin; Jang, Jyh-Shing;
Chiu, Ming-Jang, Machine-learning-based
classification of subjective cognitive decline, mild cognitive impairment, and
Alzheimer’s dementia using neuroimage and plasma biomarkers, ACS Chemical Neuroscience. 2022.
3. Wee Shin Lim, Shu-i Chiu,
Meng-Ciao Wu, Shu-Fen Tsai, Pu-He Wang, Kun-Pei Lin,
Yung-Ming Chen, Pei-Ling Peng, Yung-Yaw Chen, Jyh-Shing
Roger Jang, Chin-Hsien Lin, MD. An
integrated biometric voice and facial features for early detection of
Parkinson’s disease. npj Parkinsons Dis. 8, 145 (2022).
4. 段人鳯、邱淑怡、劉慧雯, 以社群媒體語言建構深度學習模型:以「校正回歸」為例, 中文計算語言學期刊;27卷1期 (2022 / 06 / 01) , P153-179。<檔案>
5.
Chang-Fu Su, Shu-I
Chiu, Jyh-Shing Roger Jang, Feipei
Lai, Improved
Inpatient Deterioration Detection in General Wards by Using Time-Series Vital
Signs, Scientific reports, 20 May 2022. <Dataset: Training
dataset and test dataset>
6.
Ta-Ching Chen, Wee Shin Lim, Victoria Y. Wang, Mei-Lan Ko, Shu-I Chiu, Yu-Shu Huang, Feipei Lai, Chung-May Yang, Fung-Rong Hu, Jyh-Shing Roger Jang, Chang-Hao Yang, Artificial
Intelligence-Assisted Early Detection of Retinitis Pigmentosa - the Most Common
Inherited Retinal Degeneration. J.
Digit. Imaging 34(4): 948-958 (2021).
7.
Chin-Hsien Lin, Shu-i
Chiu, Ta-Fu Chen, Jyh-Shing Roger Jang and
Ming-Jang Chiu. Classifications
of neurodegenerative disorders using a multiplex blood biomarkers-based machine
learning Model. International Journal of Molecular Sciences, 2020 Sep 21;
21(18):E6914. doi:
10.3390/ijms21186914.
8.
Shu-I Chiu
and Kuo-Wei Hsu. Efficiently
processing skyline query on multi-instance data. Journal of Information
Processing Systems, vol. 13, no 5, pp. 1277-1298, 2017. doi:
10.3745/JIPS.04.0049.
Conference:
1.
Shu-i Chiu, Chin-Hsien Lin, Wee Shun Lim, Ming-Jang, Chiu, Ta-Fu, Chen, and Jyh-Shing Roger Jang. Predicting
neurodegenerative diseases using a novel blood biomarkers-based model by
machine learning. In 2019 International Conference on Technologies and
Applications of Artificial Intelligence (TAAI).
2.
Hsiao-Ko Chang, Cheng-Tse
Wu, Wee Shin Lim, Hui-Chih Wang, Shu-i Chiu, and Jyh-Shing Roger
Jang. Early Detecting In-hospital Cardiac Arrest Based on Machine Learning on
Imbalanced Data. In the 7th IEEE International Conference on Healthcare
Informatics (ICHI 2019).
3.
Shu-i Chiu and Kuo-Wei Hsu. User Mining to Find
Important Facebook Users. In the 2018 7th International Conference on Software
and Computer Applications (ICSCA 2018), pp. 110-114, 2018.
4.
Shu-i Chiu and Kuo-Wei Hsu. Predicting political
tendency of posts on Facebook. In the 2018 7th International Conference on
Software and Computer Applications (ICSCA 2018), pp. 124-128, 2018.
5.
Shu-i Chiu and Kuo-Wei Hsu. Information diffusion
on Facebook: A case study of the sunflower student movement in Taiwan. In
Proceedings of the 11th International Conference in Ubiquitous Information
Management and Communication (Beppu, Japan, Jan. 05 -
07, 2017), 48, 2017.
6.
Che-Chia Chang, Shu-i
Chiu, and Kuo-Wei Hsu. Predicting political
affiliation of posts on Facebook. In Proceedings of the 11th International
Conference in Ubiquitous Information Management and Communication (Beppu, Japan, Jan. 05- 07, 2017), 58, 2017.
7.
Shu-i Chiu and Kuo-Wei Hsu. Skyline query
processing for rating data. In Pacific Asia Conference on Information Systems
(Chiayi, Taiwan, June 27 - July 1, 2016),305, 2016.
8.
Hsin-Ping Chen, Kuo-Wei Hsu, and Shu-i Chiu. Event detection in an ego network on Facebook.
In Pacific Asia Conference on Information Systems (Chiayi, Taiwan, June 27 -
July 1, 2016), 172, 2016.